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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics) - Tapa dura
Libro 34 de 160: Springer Series in Statistics
Sinopsis
This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers.
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De la contraportada
The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Bayesian Forecasting and Dynamic Models
Publicado por
Springer-Verlag New York Inc., 1997
ISBN 10: 0387947256
ISBN 13: 9780387947259
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Hardback. Condición: Good. This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers. Nº de ref. del artículo: CIN0387947256G
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Condición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail. Nº de ref. del artículo: OTV.0387947256.VG
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Bayesian Forecasting and Dynamic Models
Publicado por
Springer-Verlag New York Inc., 1997
ISBN 10: 0387947256
ISBN 13: 9780387947259
Antiguo o usado
Tapa dura
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Hardback. Condición: Good. This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers. Nº de ref. del artículo: CIN0387947256G
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Springer (edition 2nd), 1997
ISBN 10: 0387947256
ISBN 13: 9780387947259
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Hardcover. Condición: Very Good. 2nd. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Nº de ref. del artículo: 0387947256-11-1
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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hardcover. Condición: As New. 2nd. Book is in excellent condition, text is unmarked and pages are tight. Nº de ref. del artículo: 68349
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780387947259. Nº de ref. del artículo: 5845159
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Hardcover. Condición: Brand New. 2nd sub edition. 680 pages. 9.75x6.50x1.50 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0387947256
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